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Nature et impacts des effets spatiaux sur les valeurs immobilières. Le cas de l'espace urbanisé parisien

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  • Catherine Baumont
  • Diego Legros

Abstract

In this paper we show that spatial effects might remain once neighborhood effects and accessibility have been controlled for. We consider two types of neighborhood variables supporting neighborhood effects : the socio-economic status and the policies in favor of diversity. Our empirical case concerns the Metropolitan Area (ma) of Paris in France comprising the city and the bordering departments. This area is covered by 2,636 neighborhood areas. We estimate the housing price distribution from a sample of 21,098 apartments. Several tests of spatial dependencies are performed and give the Spatial Durbin Model as the best specification to estimate. This model implies a spatial multiplier effect. We estimate a negative effect both for disadvantaged districts and diversification. In each case, the spatial effects tend to increase these impacts. Classification JEL : C120, C520, R140, R210

Suggested Citation

  • Catherine Baumont & Diego Legros, 2013. "Nature et impacts des effets spatiaux sur les valeurs immobilières. Le cas de l'espace urbanisé parisien," Revue économique, Presses de Sciences-Po, vol. 64(5), pages 911-950.
    • Handle: RePEc:cai:recosp:reco_645_0911
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    Citations

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    Cited by:

    1. Dupraz, P. & Osseni, A. & Bareille, F., 2018. "Assessing the direct and indirect impacts of breeding activities on residential values: a spatial hedonic approach in Brittany," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276994, International Association of Agricultural Economists.
    2. Laetitia Tuffery, 2016. "The recreational services value of the nearest periurban forest versus the global forest environment," Documents de recherche 16-06, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    3. Olivier JOALLAND & Tina RAMBONILAZA, 2017. "Valeur touristique des aménités environnementales et nuisances associées aux infrastructures d’énergie renouvelable : une approche hédonique spatiale," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 46, pages 93-115.
    4. Mohamed Ali Labidi, 2023. "The Spatial Distribution of Economic Activities and the Structure of Local Economy: a Spatial Panel Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4079-4099, December.
    5. Olivier JOALLAND & Tina RAMBONILAZA, 2017. "Assessing the impact of renewable energy infrastructure on the “tourist value” in rural landscapes: a spatial hedonic approach," Cahiers du GREThA (2007-2019) 2017-10, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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